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The Industrial Internet of Things has already started changing the way businesses have been handling their operations or at least has made them comprehend its potential, showing what it can do for them. But we are yet to realize the real value of IIoT, which can be gained by blending it with machine learning. Looking at the way Internet of Things is advancing and impacting various verticals, the maxim “experience makes a man perfect” seems to be true for machines as well. Like humans, machines too can develop abilities to operate efficiently by taking decisions based on their experiences; this realization has led to the invention of machine learning.

Since we first met the team of diabetes treatment startup MedicSen at the 2016 Deep Learning in Healthcare Summit in London, their team has grown and their mission has evolved. We spoke to the CEO Eduardo Jorgensen to learn more about their startup journey over the last year, and to find out what we can expect next.

For this year's IoT Day on 9 April, we have a special offer for Internet of Things and Machine Learning enthusiasts in our community. Use the discount code IOTDAY to save 20% on all tickets for the Machine Intelligence Summit and Machine Intelligence in Autonomous Vehicles Summit in Amsterdam.

The world of startups is constantly moving and evolving. With the exponential growth of the Internet of Things (IoT) and automated technologies in recent years, innovative new companies are often funded, acquired and transformed from startups to industry leaders extremely quickly. For IoT Day (9 April) we caught up with Andrew Thomas, Co-founder and CRO of SkyBell, to learn more about the latest developments in the home automation industry.

While tech companies battle to be the first to create fully autonomous vehicles, there is a quiet evolution happening in the background that is building the foundation for these vehicles: data collection, with insights powered by artificial intelligence and machine learning. We spoke to John Cordell, Chief Product Officer at Xevo AI, to learn more about how connected cars of today will shape the fully autonomous vehicles of tomorrow.

Thanks to the collision of machine learning and IoT, driverless technology is advancing rapidly, and advancements are expected to continue on this trajectory with technology giants like Google, Intel et al working on creating the smartest vehicle on the market. We interviewed Teymur Sadikhov, Senior Vehicle Intelligence Engineer in Autonomous Driving, to learn more about recent advancements and key challenges in autonomous vehicle technologies.

"We as an industry have to figure out how to get gigabytes of data off our cars" - Christopher Heiser. Renovo, says the traditional concept of a vehicle platform faces potential radical change in an era dominated by software, electronics and the rise of autonomous vehicle technology.

At Kohl’s Department Stores the company is moving in a great direction, where every function or every area in the retail business wants to be data driven, and use data not only to make predictive but provide prescriptive intelligence to the data. We interviewed Abhik Banerjee, Staff Data Scientist at Kohl's to find out more.